@article{Cordeiro,
 author = {Cordeiro, Robson L.  F. and Traina, Agma J.  M. and Faloutsos, Christos and Traina Jr., Caetano},
 title = {Halite: Fast and Scalable Multiresolution Local-Correlation Clustering},
 journal = {IEEE Trans. on Knowl. and Data Eng.},
 issue_date = {February 2013},
 volume = {25},
 number = {2},
 month = feb,
 year = {2013},
 issn = {1041-4347},
 pages = {387--401},
 numpages = {15},
 url = {http://dx.doi.org/10.1109/TKDE.2011.176},
 doi = {10.1109/TKDE.2011.176},
 acmid = {2478767},
 publisher = {IEEE Educational Activities Department},
 address = {Piscataway, NJ, USA},
 keywords = {Shape,Correlation,Laplace equations,Convolution,Proposals,Accuracy,Complexity theory,data mining,Local-correlation clustering,moderate-to-high dimensional data},
} 

@phdthesis{CordeiroDoc,
author={Robson Leonardo Ferreira Cordeiro},
title={Data Mining in Large Sets of Complex Data},
year={2011},
school={Universidade de São Paulo},
}

@phdthesis{Elaine,
author={Elaine Parros Machado de Sousa},
title={Identificação de correlações usando a Teoria dos Fractais},
year={2006},
school={Universidade de São Paulo},
}

@article{CordeiroTKDE2013,
  author    = {Robson Leonardo Ferreira Cordeiro and
               Agma J. M. Traina and
               Christos Faloutsos and
               {Traina Jr.}, C.},
  title     = {Halite: Fast and Scalable Multiresolution Local-Correlation
               Clustering},
  journal   = {IEEE TKDE},
  volume    = {25},
  number    = {2},
  year      = {2013},
  pages     = {387-401},
  ee        = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2011.176},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

@article{ref8,
  author    = {Zachary Miller and
               Wei Hu},
  title     = {Data Stream Subspace Clustering for Anomalous Network Packet Detection},
  journal   = {J. Information Security},
  volume    = {3},
  number    = {3},
  year      = {2012},
  pages     = {215-223},
  ee        = {http://dx.doi.org/10.4236/jis.2012.33027},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

@article{ref1,
 author = {Kontaki, Maria and Papadopoulos, Apostolos N. and Manolopoulos, Yannis},
 title = {Continuous Subspace Clustering in Streaming Time Series},
 journal = {Inf. Syst.},
 issue_date = {April, 2008},
 volume = {33},
 number = {2},
 month = apr,
 year = {2008},
 issn = {0306-4379},
 pages = {240--260},
 numpages = {21},
 url = {http://dx.doi.org/10.1016/j.is.2007.09.001},
 doi = {10.1016/j.is.2007.09.001},
 acmid = {1324682},
 publisher = {Elsevier Science Ltd.},
 address = {Oxford, UK, UK},
 keywords = {Continuous processing, Sliding window, Streaming time series, Subspace clustering},
}

@incollection{ref9,
year={2013},
isbn={978-3-642-40318-7},
booktitle={Trends and Applications in Knowledge Discovery and Data Mining},
volume={7867},
series={Lecture Notes in Computer Science},
editor={Li, Jiuyong and Cao, Longbing and Wang, Can and Tan, KayChen and Liu, Bo and Pei, Jian and Tseng, VincentS.},
doi={10.1007/978-3-642-40319-4_30},
title={Effective Evaluation Measures for Subspace Clustering of Data Streams},
url={http://dx.doi.org/10.1007/978-3-642-40319-4_30},
publisher={Springer Berlin Heidelberg},
author={Hassani, Marwan and Kim, Yunsu and Choi, Seungjin and Seidl, Thomas},
pages={342-353}
}

@INPROCEEDINGS{ref3, 
author={Qi Zhang and Jinze Liu and Wei Wang}, 
booktitle={Data Mining, 2007. ICDM 2007. Seventh IEEE International Conference on}, 
title={Incremental Subspace Clustering over Multiple Data Streams}, 
year={2007}, 
month={Oct}, 
pages={727-732}, 
keywords={data analysis;pattern clustering;delta-CC-Clusters;effective pruning technique;incremental subspace clustering;multiple data streams;sliding windows;static data sets;Algorithm design and analysis;Boolean functions;Clustering algorithms;Clustering methods;Data analysis;Data mining;Data structures;Monitoring;Subspace constraints;Telecommunication traffic}, 
doi={10.1109/ICDM.2007.100}, 
ISSN={1550-4786}
}

@inproceedings{ref4,
 author = {Park, Nam Hun and Lee, Won Suk},
 title = {Grid-based Subspace Clustering over Data Streams},
 booktitle = {Proceedings of the Sixteenth ACM Conference on Conference on Information and Knowledge Management},
 series = {CIKM '07},
 year = {2007},
 isbn = {978-1-59593-803-9},
 location = {Lisbon, Portugal},
 pages = {801--810},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/1321440.1321551},
 doi = {10.1145/1321440.1321551},
 acmid = {1321551},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {adaptive memory utilization, clustering, data mining, data streams, grid-based clustering},
} 

@inproceedings{ref5,
 author = {Park, Nam Hun and Lee, Won Suk},
 title = {Memory Efficient Subspace Clustering for Online Data Streams},
 booktitle = {Proceedings of the 2008 International Symposium on Database Engineering \& Applications},
 series = {IDEAS '08},
 year = {2008},
 isbn = {978-1-60558-188-0},
 location = {Coimbra, Portugal},
 pages = {199--208},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/1451940.1451968},
 doi = {10.1145/1451940.1451968},
 acmid = {1451968},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {data mining, data streams, multi-dimensional subspace clustering},
} 

@inproceedings{ref6,
 author = {Lee, Jae Woo and Lee, Won Suk},
 title = {A Coarse-grain Grid-based Subspace Clustering Method for Online Multi-dimensional Data Streams},
 booktitle = {Proceedings of the 17th ACM Conference on Information and Knowledge Management},
 series = {CIKM '08},
 year = {2008},
 isbn = {978-1-59593-991-3},
 location = {Napa Valley, California, USA},
 pages = {1521--1522},
 numpages = {2},
 url = {http://doi.acm.org/10.1145/1458082.1458366},
 doi = {10.1145/1458082.1458366},
 acmid = {1458366},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {data mining, data streams, grid-based clustering, st-tree, subspace clustering},
} 

@INPROCEEDINGS{ref7,
author={Shuyun Wang and Yingjie Fan and Chenghong Zhang and Hexiang Xu and Xiulan Hao and Yunfa Hu}, 
booktitle={Computer and Information Science, 2008. ICIS 08. Seventh IEEE/ACIS International Conference on}, 
title={Subspace Clustering of High Dimensional Data Streams}, 
year={2008}, 
month={May}, 
pages={165-170}, 
keywords={data analysis;grid computing;pattern classification;SOStream algorithm;high dimensional data stream;subspace clustering;Clustering algorithms;Conference management;Grid computing;Information science;Information technology;Monitoring;Partitioning algorithms;Space technology;Technology management;Upper bound;Cluster;Data stream;high-dimensional;subspace}, 
doi={10.1109/ICIS.2008.58}
}

@article{Sousaetal2006, 
year={2006},
issn={0288-3635},
journal={New Generation Computing},
volume={25},
number={1},
doi={10.1007/s00354-006-0003-3},
title={Measuring Evolving Data Streams' Behavior through Their Intrinsic Dimension},
url={http://dx.doi.org/10.1007/s00354-006-0003-3},
publisher={Verlag Omsha Tokio},
keywords={Data Streams; Fractals; Intrinsic Dimension},
author={Sousa, Elaine P.M. and Traina, Agma J.M. and {Traina Jr.}, Caetano and Faloutsos, Christos},
pages={33-60},
language={English}
}

@article{SBBD2014, 
year={2014},
title={Haliteds: Agrupamento de Dados em Subespaços de Séries Temporais Multidimensionais},
url={http://www.inf.ufpr.br/sbbd-sbsc2014/sbbd/},
author={E. da Silva, Afonso and L. F. Cordeiro, Robson},
pages={To appear},
}

